Alternatives and similar repositories for opt4ds

Users that are interested in opt4ds are comparing it to the libraries listed below

• AustinLBuchanan / Combinatorial-Optimization-in-Gurobi
  Combinatorial Optimization in Gurobi
  ☆44Updated 2 years ago
• bruscalia / tsp-app
  An optimization app for the Traveling Salesman Problem
  ☆30Updated last year
• ed-lam / nutmeg
  Nutmeg – a MIP and CP branch-and-check solver
  ☆28Updated 2 years ago
• facebookresearch / LANCER
  Repo for the paper "Landscape Surrogate Learning Decision Losses for Mathematical Optimization Under Partial Information"
  ☆36Updated 2 years ago
• rkimura47 / cmu-comp-or
  A series of tutorials for conducting computational experiments with optimization solvers
  ☆89Updated last year
• donghun2018 / seqdecisionlib-release
  Sequential Decision Problem Modeling Library @ Castle Lab, Princeton Univ.
  ☆60Updated 6 years ago
• chziakas / backbone-learn
  A Library for Scaling Mixed-Integer Optimization-Based Machine Learning.
  ☆12Updated last year
• alexforel / Explainable-CSO
  Code for "Explainable Data-Driven Optimization" (ICML 2023)
  ☆14Updated 2 years ago
• bruscalia / optimization-demo-files
  Examples on numerical optimization
  ☆65Updated 9 months ago
• Rose-STL-Lab / AutoSTPP
  Automatic Integration for Neural Spatio-Temporal Point Process models (AI-STPP) is a new paradigm for exact, efficient, non-parametric inf…
  ☆25Updated 11 months ago
• ChristophReich1996 / HyperMixer
  PyTorch reimplementation of the paper "HyperMixer: An MLP-based Green AI Alternative to Transformers" [arXiv 2022].
  ☆17Updated 3 years ago
• amirabbasasadi / RockyML
  ⛰️ RockyML - A High-Performance Scientific Computing Framework for Non-smooth Machine Learning Problems
  ☆19Updated 2 years ago
• rug / reinforcement-learning
  A Gentle Principled Introduction to Deep Reinforcement Learning
  ☆19Updated 5 months ago
• MatheusSchaly / Online-Courses
  ☆18Updated 2 years ago
• ogrisel / euroscipy-2022-time-series
  Tutorial on time-series forcasting with scikit-learn
  ☆33Updated 2 years ago
• petuum / tuun
  Hyperparameter tuning via uncertainty modeling
  ☆47Updated last year
• facebookresearch / SparseBO
  code associated with paper "Sparse Bayesian Optimization"
  ☆26Updated last year
• facebookresearch / SurCo
  Repo for ICML'23 paper SurCo Learning Linear Surrogates For Combinatorial Nonlinear Optimization Problems
  ☆18Updated 2 years ago
• vidalt / OCEAN
  OCEAN: Optimal Counterfactual Explanations in Tree Ensembles (ICML 2021)
  ☆21Updated last year
• coin-or / Gravity
  Mathematical Modeling for Optimization and Machine Learning
  ☆157Updated last year
• omargup / neural_combinatorial_optimization
  A peper list for machine learning models solving combinatorial problems, NP-hard problems and problems in graphs.
  ☆13Updated 5 years ago
• theblackcat102 / H5Record
  Large dataset storage format for Pytorch
  ☆45Updated 4 years ago
• sortteam / kubeFL
  Federated Learning Infra Architecture on Kubernetes(EKS)
  ☆19Updated 5 years ago
• strongio / evolutionary-optimization
  A collection of black-box optimizers with a focus on evolutionary algorithms
  ☆28Updated 5 years ago
• scipopt / papilo
  Parallel Presolve for Integer and Linear Optimization
  ☆75Updated this week
• microprediction / optimizer-elo-ratings
  Assigns Elo Ratings to Python Global Optimizers
  ☆22Updated last year
• xiangchen96 / awesome-or
  A curated list of awesome Operations Research (OR) resources.
  ☆29Updated last year
• optframe / optframe
  OptFrame - C++17/C++20/C++23 Optimization Framework in Single or Multi-Objective. Supports classic metaheuristics and hyperheuristics: Ge…
  ☆85Updated last week
• D3M-Research-Group / odtlearn
  A package for tree-based statistical estimation and inference using optimal decision trees.
  ☆41Updated last year
• open-optimization / open-optimization-or-book
  Mathematical Programming and Operations Research: Modeling, Algorithms, and Complexity. Examples in Python and Excel. Edited by Robert Hi…
  ☆35Updated 6 months ago